senior sales Partnerships Manager management

About this role

Databricks is hiring a senior-level Partnerships Manager in the sales function based in London, United Kingdom. The posting calls out experience with Azure, Spark, Databricks, MLflow.

Role
Partnerships Manager
Function
sales
Level
senior
Track
Management
Employment
Full-time
Location
London, United Kingdom
Department
Business Development

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Job description

from Databricks careers

SLSQ427R254

Databricks is seeking a strategic alliance leader to own and scale our partnership with Accenture across EMEA and to globally orchestrate our relationship with Avanade. This role sits at the centre of one of the most strategic ecosystems in Data & AI — accelerating consumption on the Databricks Data Intelligence Platform and shaping how two of the world’s most influential system integrators deliver transformation at scale.

You will translate global alliance strategy into measurable regional impact, align executive stakeholders across Databricks, Accenture, Avanade, and Microsoft, and build repeatable joint go-to-market motions that drive durable growth. This role requires executive credibility, operational rigor, and the ability to convert strategic intent into consumption, pipeline, and customer outcomes. This is a high-visibility role with direct influence on revenue growth, ecosystem strategy, and market positioning across Europe and globally.

The impact you will have:

  • Own and scale the Databricks–Accenture alliance across EMEA, aligning regional execution with global strategy and driving measurable consumption growth.
  • Serve as the global executive lead for the Databricks–Avanade relationship, building and executing multi-year joint growth plans across regions.
  • Drive partner-sourced and partner-influenced revenue, new logo acquisition, and expansion within strategic enterprise accounts.
  • Lead tri-party collaboration between Databricks, Accenture/Avanade, and Microsoft to maximise Azure-aligned investments and market impact.
  • This is an excerpt. Read the full job description on Databricks careers →
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